Executive Director, AI and Enterprise Data Management

Responsibilities

• Define and execute an enterprise data and AI strategy aligned with company R&D and commercialization goals.
• Identify high-impact AI/data opportunities across R&D, Clinical, CMC, Manufacturing, G&A, and other functions.
• Drive executive alignment on AI/data opportunities, risks, and investment priorities.
• Lead design and implementation of an enterprise data platform to integrate data across R&D, CMC, Clinical, and commercial domains.
• Establish scalable data architecture for real‑time pipelines, advanced analytics, machine learning, agentic AI workflows, and AI‑driven insights; enable interoperability and data sharing across siloed systems.
• Define and own AI acceptable‑use policy, responsible AI framework, and guardrails for LLM use in regulated (GxP) workflows.
• Ensure alignment with AI/ML regulatory guidance (FDA AI framework, NIST AI RMF, ISO 42001) and maintain audit‑ready documentation.
• Establish AI model lifecycle governance (validation, performance monitoring/LLMOps, deprecation).
• Partner with Legal/Compliance/Information Security on AI vendor risk and data privacy.
• Establish enterprise data governance (ownership, stewardship, classification, quality, lifecycle) and ensure compliance with GMP/GLP/GCP/SOX and data integrity.
• Oversee development/scaling of AI agents across functions (e.g., Commercial, Finance, HR, Legal); manage AI vendor relationships; ensure security/data governance/regulatory compliance.
• Build and lead a multidisciplinary team and scale an existing digital workspace/agent experimentation function.
• Foster innovation, collaboration, and continuous learning.

• 12+ years in data/analytics/AI‑ML/informatics leadership.
• Bachelor’s degree in CS, Data Science, Engineering, Life Sciences, or related.
• Proven experience building/scaling enterprise data platforms and AI capabilities.
• Life sciences/biotech/pharma/technology industry experience.
• Demonstrated success in regulated environments; experience scaling commercial‑stage organizations.
• Deep understanding of modern data architectures, cloud platforms, and AI/ML.
• Strong business acumen; ability to translate strategy into execution; lead cross‑functional transformation.
• Ability to balance innovation with risk management and compliance.

• Advanced degree in Data Science/Engineering/Life Sciences/Business.
• Pharmaceutical industry experience.

• Candidates must have current, valid authorization to work in the country where this role is located.

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